def __init__(self):
self.stemmer = PorterStemmer()
try:
f = open(os.getcwd() + "/data/tokensDict.p", "r")
self.tokens = pickle.load(f)
except:
print "Pickle file not found"
print "Creating the Dirctionary"
self.tokens = scanCleanDir()
f = open(os.getcwd() + "/data/tokensDict.p", "w")
pickle.dump(self.tokens, f)
def __init__(self):
self.stemmer = PorterStemmer()
try:
f = open(os.getcwd() + "/data/tokensDict.p", "r")
self.tokens = pickle.load(f)
except:
print "Pickle file not found"
print "Creating the Dirctionary"
self.tokens = scanCleanDir()
f = open(os.getcwd() + "/data/tokensDict.p", "w")
pickle.dump(self.tokens, f)
def __init__(self):
self.stemmer = PorterStemmer()
"""
self.tokens is a dictionary containing all the meta-data for all of the tokens and documents.
It has the structure:
{(Token):
{(Document Number):
[(list of all the positions of the token in that document.)]
}
}
"""
try:
f = open(os.getcwd() + "/data/tokensDict.p", "r")
self.tokens = pickle.load(f)
except:
print "Pickle file not found"
print "Creating the dictionary of meta-data."
self.tokens = scanCleanDir()
f = open(os.getcwd() + "/data/tokensDict.p", "w")
pickle.dump(self.tokens, f)
class Searcher:
def __init__(self):
self.stemmer = PorterStemmer()
try:
f = open(os.getcwd() + "/data/tokensDict.p", "r")
self.tokens = pickle.load(f)
except:
print "Pickle file not found"
print "Creating the Dirctionary"
self.tokens = scanCleanDir()
f = open(os.getcwd() + "/data/tokensDict.p", "w")
pickle.dump(self.tokens, f)
def dbQuery(self, query, args=()):
conn = sqlite3.connect('/Users/kristofer/comp_490/2lab/data/cache.db')
db = conn.cursor()
#args should be a tuple of the arguments in the query
db.execute(query, args)
rows = db.fetchall()
conn.close()
return rows
def singleToken(self):
print
word = raw_input("Enter your one word query: ")
token = word.lower()
token = self.stemmer.stem(token, 0, len(token) - 1)
try:
wordDict = self.tokens[token]
except:
print word, "does not seem to exist in our files. Please try a different word"
print
return
occurenceTotal = 0
highestFreq = {'freq': 0, 'docs': []}
i = 1
for doc in wordDict.keys():
freq = len(wordDict[doc])
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc, ))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
print
print "Total occurence of", word, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
def orQuery(self):
print
word1 = raw_input("Enter the first word of your query: ")
word2 = raw_input("Enter the second word of your query: ")
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
try:
docs = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
#Perform a logical or on the elements of both lists.
#Storing them in keys
for doc in docs2:
if doc not in docs:
docs.append(doc)
occurenceTotal = 0
i = 1
highestFreq = {'freq': 0, 'docs': []}
for doc in docs:
freq1 = 0
freq2 = 0
try:
freq1 = len(self.tokens[token1][doc])
except:
None
try:
freq2 = len(self.tokens[token2][doc])
except:
None
freq = freq1 + freq2
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc, ))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
print
print "Total occurence of", word1, "or", word2, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
def andQuery(self):
print
word1 = raw_input("Enter the first word of your query: ")
word2 = raw_input("Enter the second word of your query: ")
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
#Get the keys from both lists
docs = []
try:
docs1 = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
#Perform a logical and on the elements of both lists.
#Storing them in keys
for doc in docs1:
if doc in docs2:
docs.append(doc)
occurenceTotal = 0
i = 1
highestFreq = {'freq': 0, 'docs': []}
for doc in docs:
freq1 = 0
freq2 = 0
try:
freq1 = len(self.tokens[token1][doc])
except:
None
try:
freq2 = len(self.tokens[token2][doc])
except:
None
freq = freq1 + freq2
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc, ))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
print
print "Total occurence of", word1, "and", word2, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
def phraseQuery(self):
print
phrase = raw_input("Enter a two word phrase: ")
while len(phrase.split(' ')) != 2:
phrase = raw_input(
"Make sure your phrase is two words (e.g. 'hello goodbye'): ")
words = phrase.split(' ')
word1 = words[0]
word2 = words[1]
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
#Get the keys from both lists
docs = []
try:
docs1 = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
#Perform a logical and on the elements of both lists.
#Storing them in keys
phraseDict = {}
#Check which documents have both words
for doc in docs1:
if doc in docs2:
doc1Pos = self.tokens[token1][doc]
doc2Pos = self.tokens[token2][doc]
#check which documents have the phrase in the correct order
freq = 0
for pos1 in doc1Pos:
for pos2 in doc2Pos:
if pos2 == pos1 + 1:
freq += 1
if freq > 0:
phraseDict[doc] = freq
occurenceTotal = 0
i = 1
highestFreq = {'freq': 0, 'docs': []}
for doc in phraseDict.keys():
freq = phraseDict[doc]
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc, ))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
print
print "Total occurence of", phrase, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
def nearQuery(self):
print
word1 = raw_input("Enter the first word: ")
word2 = raw_input("Enter the second word: ")
distance = input(
"Enter the number of positions away you want to look: ")
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
#Get the keys from both lists
docs = []
try:
docs1 = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
#Perform a logical and on the elements of both lists.
#Storing them in keys
phraseDict = {}
#Check which documents have both words
for doc in docs1:
if doc in docs2:
doc1Pos = self.tokens[token1][doc]
doc2Pos = self.tokens[token2][doc]
#check which documents have the words within the allotted distance of each other
freq = 0
for pos1 in doc1Pos:
for pos2 in doc2Pos:
if (pos2 - pos1 >= 0 - distance) and (pos2 - pos1 <=
distance):
freq += 1
if freq > 0:
phraseDict[doc] = freq
occurenceTotal = 0
i = 1
highestFreq = {'freq': 0, 'docs': []}
for doc in phraseDict.keys():
freq = phraseDict[doc]
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc, ))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
print
print "Total occurence of", word1, "within ", distance, "positions of", word2, "was", occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
def searchMenu(self):
print
print "-----------------------------------------------------------"
print "\t Welcome to Stensland-ipedia!"
print "\tWhere you can search to your hearts content!"
print "-----------------------------------------------------------"
print
menu = True
while menu:
print "Choose the number corresponding to the query you would like to perform"
print "---------------------------------------------------------------------"
print "1.\tSingle token query."
print "2.\tAND query."
print "3.\tOR query."
print "4.\t2-Token query."
print "5.\tNear query."
print "6.\tQuit"
choice = raw_input("Enter your choice: ")
if choice == '1':
self.singleToken()
elif choice == '2':
self.andQuery()
elif choice == '3':
self.orQuery()
elif choice == '4':
self.phraseQuery()
elif choice == '5':
self.nearQuery()
elif choice == '6':
menu = False
print "\n"
else:
print "That is not a thing I understand."
print
print
print "Thank you for being my friend!"
print
class Searcher:
def __init__(self):
self.stemmer = PorterStemmer()
try:
f = open(os.getcwd() + "/data/tokensDict.p", "r")
self.tokens = pickle.load(f)
except:
print "Pickle file not found"
print "Creating the Dirctionary"
self.tokens = scanCleanDir()
f = open(os.getcwd() + "/data/tokensDict.p", "w")
pickle.dump(self.tokens, f)
def dbQuery(self, query, args=()):
conn = sqlite3.connect("/Users/kristofer/comp_490/2lab/data/cache.db")
db = conn.cursor()
# args should be a tuple of the arguments in the query
db.execute(query, args)
rows = db.fetchall()
conn.close()
return rows
def singleToken(self):
print
word = raw_input("Enter your one word query: ")
token = word.lower()
token = self.stemmer.stem(token, 0, len(token) - 1)
try:
wordDict = self.tokens[token]
except:
print word, "does not seem to exist in our files. Please try a different word"
print
return
occurenceTotal = 0
highestFreq = {"freq": 0, "docs": []}
i = 1
for doc in wordDict.keys():
freq = len(wordDict[doc])
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc,))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq["freq"]:
highestFreq["freq"] = freq
highestFreq["docs"] = [linksRow[0][0]]
elif freq == highestFreq["freq"]:
highestFreq["docs"].append(doc)
print
print "Total occurence of", word, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq["freq"], " times in: ",
for i in range(len(highestFreq["docs"])):
if i > 0:
print "and"
print highestFreq["docs"][i]
print
def orQuery(self):
print
word1 = raw_input("Enter the first word of your query: ")
word2 = raw_input("Enter the second word of your query: ")
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
try:
docs = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
# Perform a logical or on the elements of both lists.
# Storing them in keys
for doc in docs2:
if doc not in docs:
docs.append(doc)
occurenceTotal = 0
i = 1
highestFreq = {"freq": 0, "docs": []}
for doc in docs:
freq1 = 0
freq2 = 0
try:
freq1 = len(self.tokens[token1][doc])
except:
None
try:
freq2 = len(self.tokens[token2][doc])
except:
None
freq = freq1 + freq2
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc,))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq["freq"]:
highestFreq["freq"] = freq
highestFreq["docs"] = [linksRow[0][0]]
elif freq == highestFreq["freq"]:
highestFreq["docs"].append(doc)
print
print "Total occurence of", word1, "or", word2, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq["freq"], " times in: ",
for i in range(len(highestFreq["docs"])):
if i > 0:
print "and"
print highestFreq["docs"][i]
print
def andQuery(self):
print
word1 = raw_input("Enter the first word of your query: ")
word2 = raw_input("Enter the second word of your query: ")
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
# Get the keys from both lists
docs = []
try:
docs1 = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
# Perform a logical and on the elements of both lists.
# Storing them in keys
for doc in docs1:
if doc in docs2:
docs.append(doc)
occurenceTotal = 0
i = 1
highestFreq = {"freq": 0, "docs": []}
for doc in docs:
freq1 = 0
freq2 = 0
try:
freq1 = len(self.tokens[token1][doc])
except:
None
try:
freq2 = len(self.tokens[token2][doc])
except:
None
freq = freq1 + freq2
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc,))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq["freq"]:
highestFreq["freq"] = freq
highestFreq["docs"] = [linksRow[0][0]]
elif freq == highestFreq["freq"]:
highestFreq["docs"].append(doc)
print
print "Total occurence of", word1, "and", word2, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq["freq"], " times in: ",
for i in range(len(highestFreq["docs"])):
if i > 0:
print "and"
print highestFreq["docs"][i]
print
def phraseQuery(self):
print
phrase = raw_input("Enter a two word phrase: ")
while len(phrase.split(" ")) != 2:
phrase = raw_input("Make sure your phrase is two words (e.g. 'hello goodbye'): ")
words = phrase.split(" ")
word1 = words[0]
word2 = words[1]
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
# Get the keys from both lists
docs = []
try:
docs1 = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
# Perform a logical and on the elements of both lists.
# Storing them in keys
phraseDict = {}
# Check which documents have both words
for doc in docs1:
if doc in docs2:
doc1Pos = self.tokens[token1][doc]
doc2Pos = self.tokens[token2][doc]
# check which documents have the phrase in the correct order
freq = 0
for pos1 in doc1Pos:
for pos2 in doc2Pos:
if pos2 == pos1 + 1:
freq += 1
if freq > 0:
phraseDict[doc] = freq
occurenceTotal = 0
i = 1
highestFreq = {"freq": 0, "docs": []}
for doc in phraseDict.keys():
freq = phraseDict[doc]
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc,))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq["freq"]:
highestFreq["freq"] = freq
highestFreq["docs"] = [linksRow[0][0]]
elif freq == highestFreq["freq"]:
highestFreq["docs"].append(doc)
print
print "Total occurence of", phrase, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq["freq"], " times in: ",
for i in range(len(highestFreq["docs"])):
if i > 0:
print "and"
print highestFreq["docs"][i]
print
def nearQuery(self):
print
word1 = raw_input("Enter the first word: ")
word2 = raw_input("Enter the second word: ")
distance = input("Enter the number of positions away you want to look: ")
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
# Get the keys from both lists
docs = []
try:
docs1 = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
# Perform a logical and on the elements of both lists.
# Storing them in keys
phraseDict = {}
# Check which documents have both words
for doc in docs1:
if doc in docs2:
doc1Pos = self.tokens[token1][doc]
doc2Pos = self.tokens[token2][doc]
# check which documents have the words within the allotted distance of each other
freq = 0
for pos1 in doc1Pos:
for pos2 in doc2Pos:
if (pos2 - pos1 >= 0 - distance) and (pos2 - pos1 <= distance):
freq += 1
if freq > 0:
phraseDict[doc] = freq
occurenceTotal = 0
i = 1
highestFreq = {"freq": 0, "docs": []}
for doc in phraseDict.keys():
freq = phraseDict[doc]
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
linksRow = self.dbQuery(linksQuery, (doc,))
print
print i, "\t", linksRow[0][0]
print "\t item: ", linksRow[0][1]
print "\t occured ", freq, "times"
i += 1
if freq > highestFreq["freq"]:
highestFreq["freq"] = freq
highestFreq["docs"] = [linksRow[0][0]]
elif freq == highestFreq["freq"]:
highestFreq["docs"].append(doc)
print
print "Total occurence of", word1, "within ", distance, "positions of", word2, "was", occurenceTotal, "times"
print "Highest frequency: ", highestFreq["freq"], " times in: ",
for i in range(len(highestFreq["docs"])):
if i > 0:
print "and"
print highestFreq["docs"][i]
print
def searchMenu(self):
print
print "-----------------------------------------------------------"
print "\t Welcome to Stensland-ipedia!"
print "\tWhere you can search to your hearts content!"
print "-----------------------------------------------------------"
print
menu = True
while menu:
print "Choose the number corresponding to the query you would like to perform"
print "---------------------------------------------------------------------"
print "1.\tSingle token query."
print "2.\tAND query."
print "3.\tOR query."
print "4.\t2-Token query."
print "5.\tNear query."
print "6.\tQuit"
choice = raw_input("Enter your choice: ")
if choice == "1":
self.singleToken()
elif choice == "2":
self.andQuery()
elif choice == "3":
self.orQuery()
elif choice == "4":
self.phraseQuery()
elif choice == "5":
self.nearQuery()
elif choice == "6":
menu = False
print "\n"
else:
print "That is not a thing I understand."
print
print
print "Thank you for being my friend!"
print
class Searcher:
# Constructor. Opens the dictionary of token meta-data
def __init__(self):
self.stemmer = PorterStemmer()
"""
self.tokens is a dictionary containing all the meta-data for all of the tokens and documents.
It has the structure:
{(Token):
{(Document Number):
[(list of all the positions of the token in that document.)]
}
}
"""
try:
f = open(os.getcwd() + "/data/tokensDict.p", "r")
self.tokens = pickle.load(f)
except:
print "Pickle file not found"
print "Creating the dictionary of meta-data."
self.tokens = scanCleanDir()
f = open(os.getcwd() + "/data/tokensDict.p", "w")
pickle.dump(self.tokens, f)
# Connects to the sqlite database, performs a given search query and
# returns a list conaining each row of the resulting table.
def dbQuery(self, query, args = ()):
conn = sqlite3.connect(os.getcwd() + '/data/cache.db')
db = conn.cursor()
# args should be a tuple of the arguments in the query
db.execute(query, args)
# get all the rows of the results from the sql query.
rows = db.fetchall()
conn.close()
return rows
"""
Searches for a single token in all the databases and displays all the
resulting documents, how many times the token occured in each document,
and which document had the most instances of that token.
"""
def singleToken(self):
# Get the token from the user, format it correctly and stem it.
print
word = raw_input("Enter your one word query: ")
token = word.lower()
token = self.stemmer.stem(token, 0, len(token) - 1)
# If the token is not found in any of the documents, end the search.
try:
wordDict = self.tokens[token]
except:
print word, "does not seem to exist in our files. Please try a different word"
print
return
# The number of times the token occurs across all documents.
occurenceTotal = 0
# Contains the documents with the highest frequency of document occurences.
highestFreq = {'freq': 0, 'docs':[]}
i = 1
for doc in wordDict.keys():
freq = len(wordDict[doc])
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
# Get the URL for each valid web-page document found.
linksRow = self.dbQuery(linksQuery, (doc,))
# Display the current document and it's frequency
print
print i,"\t",linksRow[0][0]
print "\t item: ",linksRow[0][1]
print "\t occured ",freq,"times"
i += 1
# Update the document[s] with the highest frequency
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
# Display the most relevant document[s]
print
print "Total occurence of", word, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
"""
Takes two tokens, gets all the documents that either or both tokens
appear in and displays the results.
"""
def orQuery(self):
print
# Get the two tokens, format and stem them.
word1 = raw_input("Enter the first word of your query: ")
word2 = raw_input("Enter the second word of your query: ")
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
try:
docs = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
# Collect all documents where either or both tokens appear in.
# Store them in keys
for doc in docs2:
if doc not in docs:
docs.append(doc)
# Total number of times either token occurs accross all documents.
occurenceTotal = 0
i = 1
# Keep track of which documents have the highest token frequency
highestFreq = {'freq': 0, 'docs':[]}
for doc in docs:
freq1 = 0
freq2 = 0
try:
freq1 = len(self.tokens[token1][doc])
except:
None
try:
freq2 = len(self.tokens[token2][doc])
except:
None
# Combine the frequency of each token for the current document.
freq = freq1 + freq2
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
# Get the URL for each valid web-page document found.
linksRow = self.dbQuery(linksQuery, (doc,))
# Display the current document and it's frequency
print
print i,"\t",linksRow[0][0]
print "\t item: ",linksRow[0][1]
print "\t occured ",freq,"times"
i += 1
# Update which document[s] have the highest frequency for both tokens
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
# Display which Document[s] have the highest frequency for both tokens
print
print "Total occurence of", word1, "or", word2, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
"""
Takes two tokens, gets all the documents that ONLY BOTH tokens
appear in and displays the results.
"""
def andQuery(self):
print
# Get each token, format and stem both of them.
word1 = raw_input("Enter the first word of your query: ")
word2 = raw_input("Enter the second word of your query: ")
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
# Will contain all documents where both tokens appear in
docs = []
# If either of the tokens is not found in any document, stop the search
try:
docs1 = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
# Collect all documents where both tokens appear in.
# Store them in keys
for doc in docs1:
if doc in docs2:
docs.append(doc)
# Total number of times either token occurs accross all documents
# that contain both tokens.
occurenceTotal = 0
i = 1
# Keep track of which documents have the highest token frequency
highestFreq = {'freq': 0, 'docs':[]}
for doc in docs:
freq1 = 0
freq2 = 0
try:
freq1 = len(self.tokens[token1][doc])
except:
None
try:
freq2 = len(self.tokens[token2][doc])
except:
None
# Combine the frequency of each token for the current document.
freq = freq1 + freq2
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
# Get the URL for each valid web-page document found.
linksRow = self.dbQuery(linksQuery, (doc,))
# Display the current document and it's frequency
print
print i,"\t",linksRow[0][0]
print "\t item: ",linksRow[0][1]
print "\t occured ",freq,"times"
i += 1
# Update which document[s] have the highest frequency for both tokens
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
#Display which Document[s] have the highest frequency for both tokens
print
print "Total occurence of", word1, "and", word2, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
"""
Takes a two token phrase and finds all the documents where that phrase occurs
exactly as it is in the query (token1 followed by token2).
Works exactly like the andQuery, except that it checks to make sure the
position of token2 occurs immediately after token1.
"""
def phraseQuery(self):
print
# Get the two-word phrase and get each token from it.
phrase = raw_input("Enter a two word phrase: ")
while len(phrase.split(' ')) != 2:
phrase = raw_input("Make sure your phrase is two words (e.g. 'hello goodbye'): ")
# Format and stem each token.
words = phrase.split(' ')
word1 = words[0]
word2 = words[1]
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
# Will contain all documents where both tokens appear in
docs = []
# If either of the tokens is not found in any document, stop the search
try:
docs1 = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
# Collect all documents where both tokens appear.
# Store them in keys
phraseDict = {}
# Check which documents have both words
for doc in docs1:
if doc in docs2:
doc1Pos = self.tokens[token1][doc]
doc2Pos = self.tokens[token2][doc]
# Check which documents have the phrase in the correct order
freq = 0
for pos1 in doc1Pos:
for pos2 in doc2Pos:
if pos2 == pos1 + 1:
freq += 1
# Keep track of only the docuements where the phrase occurs.
if freq > 0:
phraseDict[doc] = freq
#Total number of times the phrase occurs
occurenceTotal = 0
i = 1
# Keep track of the documents with the highest frequency
highestFreq = {'freq': 0, 'docs':[]}
for doc in phraseDict.keys():
freq = phraseDict[doc]
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
# Get the URL for each valid web-page document found.
linksRow = self.dbQuery(linksQuery, (doc,))
# Display the current document and it's frequency
print
print i,"\t",linksRow[0][0]
print "\t item: ",linksRow[0][1]
print "\t occured ",freq,"times"
i += 1
# Update which document[s] have the highest frequency for both tokens
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
# Displat the document[s] with the highest frequency for the two-token phrase.
print
print "Total occurence of",phrase, "is", occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
"""
Performs a query using two tokens and an integer. The integer represents
a distance between two words.
Collects all the documents where both tokens occur within the given
distance from each other and displays the results. For example in the
document, "and i think to myself what a wonderful world" The two tokens "think"
and "myself" occur within a distance of two words from each other.
"""
def nearQuery(self):
print
# Get both tokens and the distance
word1 = raw_input("Enter the first word: ")
word2 = raw_input("Enter the second word: ")
distance = input ("Enter the number of positions away you want to look: ")
# Format and stem each token
token1 = word1.lower()
token1 = self.stemmer.stem(token1, 0, len(token1) - 1)
token2 = word2.lower()
token2 = self.stemmer.stem(token2, 0, len(token2) - 1)
# Will contain all documents where both tokens appear in, within the given
# distance of each other.
docs = []
# If either token does not appear in any document, stop the search.
try:
docs1 = self.tokens[token1].keys()
except:
print word1, "does not seem to exist in our files. Please try a different word"
print
return
try:
docs2 = self.tokens[token2].keys()
except:
print word2, "does not seem to exist in our files. Please try a different word"
print
return
# Collect all documents where both tokens appear.
# Store them in keys
phraseDict = {}
# Check which documents have both words
for doc in docs1:
if doc in docs2:
doc1Pos = self.tokens[token1][doc]
doc2Pos = self.tokens[token2][doc]
# Check which documents have the words within the allotted distance of each other
freq = 0
for pos1 in doc1Pos:
for pos2 in doc2Pos:
if (pos2 - pos1 >= 0 - distance) and (pos2 - pos1 <= distance):
freq += 1
if freq > 0:
phraseDict[doc] = freq
#Total number of times the two tokens occur within each other across all docs
occurenceTotal = 0
i = 1
# Keep track of the documents with the highest frequency
highestFreq = {'freq': 0, 'docs':[]}
for doc in phraseDict.keys():
freq = phraseDict[doc]
occurenceTotal += freq
linksQuery = """
SELECT webPage.linkText, item.itemName FROM (
SElECT itemToWebPage.webPageId, itemToWebPage.itemId
FROM itemToWebPage
WHERE webPageId = ?) AS linkItem
JOIN item
ON item.itemId = linkItem.itemId
JOIN webPage
ON webPage.webPageId = linkItem.webPageId;
"""
# Get the URL for each valid web-page document found.
linksRow = self.dbQuery(linksQuery, (doc,))
# Display the current document and it's frequency
print
print i,"\t",linksRow[0][0]
print "\t item: ",linksRow[0][1]
print "\t occured ",freq,"times"
i += 1
# Update the document with the highest frequency.
if freq > highestFreq['freq']:
highestFreq['freq'] = freq
highestFreq['docs'] = [linksRow[0][0]]
elif freq == highestFreq['freq']:
highestFreq['docs'].append(doc)
# Display the document with the highest frequency.
print
print "Total occurence of",word1, "within ", distance, "positions of", word2, "was",occurenceTotal, "times"
print "Highest frequency: ", highestFreq['freq'], " times in: ",
for i in range(len(highestFreq['docs'])):
if i > 0:
print "and"
print highestFreq['docs'][i]
print
def searchMenu(self):
print
print "-----------------------------------------------------------"
print "\t Welcome to Stensland-ipedia!"
print "\tWhere you can search to your hearts content!"
print "-----------------------------------------------------------"
print
menu = True
while menu:
print "Choose the number corresponding to the query you would like to perform"
print "---------------------------------------------------------------------"
print "1.\tSingle token query."
print "2.\tAND query."
print "3.\tOR query."
print "4.\t2-Token query."
print "5.\tNear query."
print "6.\tQuit"
choice = raw_input("Enter your choice: ")
if choice == '1':
self.singleToken()
elif choice == '2':
self.andQuery()
elif choice == '3':
self.orQuery()
elif choice == '4':
self.phraseQuery()
elif choice == '5':
self.nearQuery()
elif choice == '6':
menu = False
print "\n"
else:
print "That is not a thing I understand."
print
print
print "Thank you for being my friend!"
print